Traffic Collision Report

Dataset statistics

Number of variables	22
Number of observations	74612
Missing cells	9
Missing cells (%)	< 0.1%
Duplicate rows	8
Duplicate rows (%)	< 0.1%
Total size in memory	12.5 MiB
Average record size in memory	176.0 B

Variable types

DateTime	1
Text	2
Categorical	11
Numeric	7
Unsupported	1

Alerts

Dataset has 8 (< 0.1%) duplicate rows	Duplicates
`Classification_Of_Accident` is highly overall correlated with `Num_of_Fatal_Injuries`	High correlation
`Lat` is highly overall correlated with `Long`	High correlation
`Location_Type` is highly overall correlated with `Traffic_Control`	High correlation
`Long` is highly overall correlated with `Lat`	High correlation
`Num_of_Fatal_Injuries` is highly overall correlated with `Classification_Of_Accident` and 4 other fields	High correlation
`Num_of_Injuries` is highly overall correlated with `Num_of_Fatal_Injuries` and 2 other fields	High correlation
`Num_of_Major_Injuries` is highly overall correlated with `Num_of_Fatal_Injuries`	High correlation
`Num_of_Minimal_Injuries` is highly overall correlated with `Num_of_Fatal_Injuries` and 2 other fields	High correlation
`Num_of_Minor_Injuries` is highly overall correlated with `Num_of_Fatal_Injuries` and 2 other fields	High correlation
`Traffic_Control` is highly overall correlated with `Location_Type`	High correlation
`Classification_Of_Accident` is highly imbalanced (56.2%)	Imbalance
`Road_Surface_Condition` is highly imbalanced (53.9%)	Imbalance
`Environment_Condition` is highly imbalanced (65.3%)	Imbalance
`Traffic_Control` is highly imbalanced (56.8%)	Imbalance
`Num_Of_Pedestrians` is highly imbalanced (92.3%)	Imbalance
`Num_of_Bicycles` is highly imbalanced (93.4%)	Imbalance
`Num_of_Motorcycles` is highly imbalanced (96.4%)	Imbalance
`Num_of_Fatal_Injuries` is highly imbalanced (99.0%)	Imbalance
`Num_of_Major_Injuries` is highly skewed (γ1 = 31.27932899)	Skewed
`Lat` is highly skewed (γ1 = -23.8028575)	Skewed
`Max_Injury` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Num_of_Injuries` has 61195 (82.0%) zeros	Zeros
`Num_of_Minimal_Injuries` has 68879 (92.3%) zeros	Zeros
`Num_of_Minor_Injuries` has 68879 (92.3%) zeros	Zeros
`Num_of_Major_Injuries` has 73941 (99.1%) zeros	Zeros

Reproduction

Analysis started	2024-10-16 22:09:20.146222
Analysis finished	2024-10-16 22:09:42.122720
Duration	21.98 seconds
Software version	ydata-profiling vv4.11.0
Download configuration	config.json

Accident_Date
Date

Distinct	2184
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

Minimum	2017-01-01 00:00:00
Maximum	2022-12-30 00:00:00

Histogram with fixed size bins (bins=50)

Accident_Time
Text

Distinct	1439
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

Length

Max length	7
Median length	5
Mean length	4.8502386
Min length	4

Characters and Unicode

Total characters	361886
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	1:28
2nd row	3:16
3rd row	7:17
4th row	8:58
5th row	11:41

Value	Count	Frequency (%)
unknown	2757	3.7%
16:30	614	0.8%
17:00	590	0.8%
16:00	568	0.8%
15:30	543	0.7%
15:00	503	0.7%
17:30	478	0.6%
18:00	450	0.6%
14:30	432	0.6%
14:00	426	0.6%
Other values (1429)	67251	90.1%

Most occurring characters

Value	Count	Frequency (%)
:	71855	19.9%
1	70546	19.5%
0	41764	11.5%
2	29516	8.2%
5	29513	8.2%
3	24368	6.7%
4	21926	6.1%
7	14473	4.0%
8	13514	3.7%
6	13495	3.7%
Other values (6)	30916	8.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	361886	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
:	71855	19.9%
1	70546	19.5%
0	41764	11.5%
2	29516	8.2%
5	29513	8.2%
3	24368	6.7%
4	21926	6.1%
7	14473	4.0%
8	13514	3.7%
6	13495	3.7%
Other values (6)	30916	8.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	361886	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
:	71855	19.9%
1	70546	19.5%
0	41764	11.5%
2	29516	8.2%
5	29513	8.2%
3	24368	6.7%
4	21926	6.1%
7	14473	4.0%
8	13514	3.7%
6	13495	3.7%
Other values (6)	30916	8.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	361886	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
:	71855	19.9%
1	70546	19.5%
0	41764	11.5%
2	29516	8.2%
5	29513	8.2%
3	24368	6.7%
4	21926	6.1%
7	14473	4.0%
8	13514	3.7%
6	13495	3.7%
Other values (6)	30916	8.5%

Location
Text

Distinct	13305
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

Length

Max length	150
Median length	106
Mean length	49.927974
Min length	25

Characters and Unicode

Total characters	3725226
Distinct characters	66
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5991 ?
Unique (%)	8.0%

Sample

1st row	WEST RIDGE DR btwn PARLOR PL & BERT G. ARGUE DR (__5RG32N)
2nd row	VANIER PKWY SB btwn DONALD ST & MCARTHUR AVE (__3Z07B5)
3rd row	OLD RICHMOND RD @ ROBERTSON RD (0000639)
4th row	MERIVALE RD @ WOODFIELD DR/ROYDON PL (0009776)
5th row	BANK ST @ BELANGER AVE/LAMIRA ST (0007208)

Value	Count	Frequency (%)
	74827	11.7%
rd	50463	7.9%
btwn	34169	5.3%
st	32930	5.1%
ave	25830	4.0%
dr	24418	3.8%
hwy417	14149	2.2%
417	8653	1.4%
highway	7985	1.2%
blvd	5377	0.8%
Other values (20243)	361073	56.4%

Most occurring characters

Value	Count	Frequency (%)
	565492	15.2%
R	236511	6.3%
A	196321	5.3%
E	195423	5.2%
0	162570	4.4%
D	148473	4.0%
N	125223	3.4%
I	120553	3.2%
L	112787	3.0%
S	111854	3.0%
Other values (56)	1750019	47.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3725226	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	565492	15.2%
R	236511	6.3%
A	196321	5.3%
E	195423	5.2%
0	162570	4.4%
D	148473	4.0%
N	125223	3.4%
I	120553	3.2%
L	112787	3.0%
S	111854	3.0%
Other values (56)	1750019	47.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3725226	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	565492	15.2%
R	236511	6.3%
A	196321	5.3%
E	195423	5.2%
0	162570	4.4%
D	148473	4.0%
N	125223	3.4%
I	120553	3.2%
L	112787	3.0%
S	111854	3.0%
Other values (56)	1750019	47.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3725226	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	565492	15.2%
R	236511	6.3%
A	196321	5.3%
E	195423	5.2%
0	162570	4.4%
D	148473	4.0%
N	125223	3.4%
I	120553	3.2%
L	112787	3.0%
S	111854	3.0%
Other values (56)	1750019	47.0%

Location_Type
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

Intersection	40441
Midblock	34171

Length

Max length	12
Median length	12
Mean length	10.168069
Min length	8

Characters and Unicode

Total characters	758660
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Midblock
2nd row	Midblock
3rd row	Intersection
4th row	Intersection
5th row	Intersection

Common Values

Value	Count	Frequency (%)
Intersection	40441	54.2%
Midblock	34171	45.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
intersection	40441	54.2%
midblock	34171	45.8%

Most occurring characters

Value	Count	Frequency (%)
n	80882	10.7%
t	80882	10.7%
e	80882	10.7%
c	74612	9.8%
i	74612	9.8%
o	74612	9.8%
I	40441	5.3%
r	40441	5.3%
s	40441	5.3%
M	34171	4.5%
Other values (4)	136684	18.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	758660	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	80882	10.7%
t	80882	10.7%
e	80882	10.7%
c	74612	9.8%
i	74612	9.8%
o	74612	9.8%
I	40441	5.3%
r	40441	5.3%
s	40441	5.3%
M	34171	4.5%
Other values (4)	136684	18.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	758660	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	80882	10.7%
t	80882	10.7%
e	80882	10.7%
c	74612	9.8%
i	74612	9.8%
o	74612	9.8%
I	40441	5.3%
r	40441	5.3%
s	40441	5.3%
M	34171	4.5%
Other values (4)	136684	18.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	758660	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	80882	10.7%
t	80882	10.7%
e	80882	10.7%
c	74612	9.8%
i	74612	9.8%
o	74612	9.8%
I	40441	5.3%
r	40441	5.3%
s	40441	5.3%
M	34171	4.5%
Other values (4)	136684	18.0%

Classification_Of_Accident
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

03 - P.D. only	61195
02 - Non-fatal injury	13276
01 - Fatal injury	141

Length

Max length	21
Median length	14
Mean length	15.251206
Min length	14

Characters and Unicode

Total characters	1137923
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	03 - P.D. only
2nd row	03 - P.D. only
3rd row	03 - P.D. only
4th row	03 - P.D. only
5th row	03 - P.D. only

Common Values

Value	Count	Frequency (%)
03 - P.D. only	61195	82.0%
02 - Non-fatal injury	13276	17.8%
01 - Fatal injury	141	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	74612	25.0%
03	61195	20.5%
p.d	61195	20.5%
only	61195	20.5%
injury	13417	4.5%
02	13276	4.4%
non-fatal	13276	4.4%
01	141	< 0.1%
fatal	141	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	223836	19.7%
.	122390	10.8%
n	87888	7.7%
-	87888	7.7%
l	74612	6.6%
y	74612	6.6%
0	74612	6.6%
o	74471	6.5%
D	61195	5.4%
P	61195	5.4%
Other values (12)	195224	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1137923	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	223836	19.7%
.	122390	10.8%
n	87888	7.7%
-	87888	7.7%
l	74612	6.6%
y	74612	6.6%
0	74612	6.6%
o	74471	6.5%
D	61195	5.4%
P	61195	5.4%
Other values (12)	195224	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1137923	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	223836	19.7%
.	122390	10.8%
n	87888	7.7%
-	87888	7.7%
l	74612	6.6%
y	74612	6.6%
0	74612	6.6%
o	74471	6.5%
D	61195	5.4%
P	61195	5.4%
Other values (12)	195224	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1137923	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	223836	19.7%
.	122390	10.8%
n	87888	7.7%
-	87888	7.7%
l	74612	6.6%
y	74612	6.6%
0	74612	6.6%
o	74471	6.5%
D	61195	5.4%
P	61195	5.4%
Other values (12)	195224	17.2%

Initial_Impact_Type
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	5
Missing (%)	< 0.1%
Memory size	583.0 KiB

03 - Rear end	24776
07 - SMV other	11885
04 - Sideswipe	10573
02 - Angle	10469
05 - Turning movement	7754
Other values (3)	9150

Length

Max length	27
Median length	21
Mean length	14.854853
Min length	10

Characters and Unicode

Total characters	1108276
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	07 - SMV other
2nd row	04 - Sideswipe
3rd row	07 - SMV other
4th row	03 - Rear end
5th row	99 - Other

Common Values

Value	Count	Frequency (%)
03 - Rear end	24776	33.2%
07 - SMV other	11885	15.9%
04 - Sideswipe	10573	14.2%
02 - Angle	10469	14.0%
05 - Turning movement	7754	10.4%
06 - SMV unattended vehicle	6240	8.4%
99 - Other	1798	2.4%
01 - Approaching	1112	1.5%
(Missing)	5	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	74607	26.6%
03	24776	8.8%
rear	24776	8.8%
end	24776	8.8%
smv	18125	6.5%
other	13683	4.9%
07	11885	4.2%
04	10573	3.8%
sideswipe	10573	3.8%
angle	10469	3.7%
Other values (10)	56473	20.1%

Most occurring characters

Value	Count	Frequency (%)
	206109	18.6%
e	135318	12.2%
-	74607	6.7%
0	72809	6.6%
n	72099	6.5%
d	47829	4.3%
r	47325	4.3%
i	36252	3.3%
t	33917	3.1%
a	32128	2.9%
Other values (26)	349883	31.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1108276	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	206109	18.6%
e	135318	12.2%
-	74607	6.7%
0	72809	6.6%
n	72099	6.5%
d	47829	4.3%
r	47325	4.3%
i	36252	3.3%
t	33917	3.1%
a	32128	2.9%
Other values (26)	349883	31.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1108276	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	206109	18.6%
e	135318	12.2%
-	74607	6.7%
0	72809	6.6%
n	72099	6.5%
d	47829	4.3%
r	47325	4.3%
i	36252	3.3%
t	33917	3.1%
a	32128	2.9%
Other values (26)	349883	31.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1108276	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	206109	18.6%
e	135318	12.2%
-	74607	6.7%
0	72809	6.6%
n	72099	6.5%
d	47829	4.3%
r	47325	4.3%
i	36252	3.3%
t	33917	3.1%
a	32128	2.9%
Other values (26)	349883	31.6%

Road_Surface_Condition
Categorical

Imbalance

Distinct	11
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	583.0 KiB

01 - Dry	49509
02 - Wet	12711
03 - Loose snow	4559
06 - Ice	3031
04 - Slush	2608
Other values (6)	2193

Length

Max length	25
Median length	8
Mean length	8.7346504
Min length	8

Characters and Unicode

Total characters	651701
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	03 - Loose snow
2nd row	03 - Loose snow
3rd row	01 - Dry
4th row	03 - Loose snow
5th row	02 - Wet

Common Values

Value	Count	Frequency (%)
01 - Dry	49509	66.4%
02 - Wet	12711	17.0%
03 - Loose snow	4559	6.1%
06 - Ice	3031	4.1%
04 - Slush	2608	3.5%
05 - Packed snow	2039	2.7%
08 - Loose sand or gravel	63	0.1%
00 - Unknown	38	0.1%
99 - Other	36	< 0.1%
07 - Mud	10	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	74611	32.4%
01	49509	21.5%
dry	49509	21.5%
02	12711	5.5%
wet	12711	5.5%
snow	6598	2.9%
loose	4622	2.0%
03	4559	2.0%
06	3031	1.3%
ice	3031	1.3%
Other values (17)	9735	4.2%

Most occurring characters

Value	Count	Frequency (%)
	156016	23.9%
0	74613	11.4%
-	74611	11.4%
r	49671	7.6%
D	49509	7.6%
y	49509	7.6%
1	49509	7.6%
e	22509	3.5%
o	15943	2.4%
s	13891	2.1%
Other values (31)	95920	14.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	651701	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	156016	23.9%
0	74613	11.4%
-	74611	11.4%
r	49671	7.6%
D	49509	7.6%
y	49509	7.6%
1	49509	7.6%
e	22509	3.5%
o	15943	2.4%
s	13891	2.1%
Other values (31)	95920	14.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	651701	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	156016	23.9%
0	74613	11.4%
-	74611	11.4%
r	49671	7.6%
D	49509	7.6%
y	49509	7.6%
1	49509	7.6%
e	22509	3.5%
o	15943	2.4%
s	13891	2.1%
Other values (31)	95920	14.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	651701	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	156016	23.9%
0	74613	11.4%
-	74611	11.4%
r	49671	7.6%
D	49509	7.6%
y	49509	7.6%
1	49509	7.6%
e	22509	3.5%
o	15943	2.4%
s	13891	2.1%
Other values (31)	95920	14.7%

Environment_Condition
Categorical

Imbalance

Distinct	9
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	583.0 KiB

01 - Clear	58471
03 - Snow	7739
02 - Rain	6562
04 - Freezing Rain	1112
05 - Drifting Snow	290
Other values (4)	436

Length

Max length	27
Median length	10
Mean length	10.012572
Min length	9

Characters and Unicode

Total characters	747038
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	02 - Rain
2nd row	03 - Snow
3rd row	05 - Drifting Snow
4th row	03 - Snow
5th row	01 - Clear

Common Values

Value	Count	Frequency (%)
01 - Clear	58471	78.4%
03 - Snow	7739	10.4%
02 - Rain	6562	8.8%
04 - Freezing Rain	1112	1.5%
05 - Drifting Snow	290	0.4%
07 - Fog, mist, smoke, dust	187	0.3%
00 - Unknown	119	0.2%
06 - Strong wind	101	0.1%
99 - Other	29	< 0.1%
(Missing)	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	74610	33.0%
01	58471	25.9%
clear	58471	25.9%
snow	8029	3.6%
03	7739	3.4%
rain	7674	3.4%
02	6562	2.9%
04	1112	0.5%
freezing	1112	0.5%
05	290	0.1%
Other values (13)	1824	0.8%

Most occurring characters

Value	Count	Frequency (%)
	151284	20.3%
0	74700	10.0%
-	74610	10.0%
a	66145	8.9%
e	60911	8.2%
r	60003	8.0%
C	58471	7.8%
l	58471	7.8%
1	58471	7.8%
n	17664	2.4%
Other values (27)	66308	8.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	747038	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	151284	20.3%
0	74700	10.0%
-	74610	10.0%
a	66145	8.9%
e	60911	8.2%
r	60003	8.0%
C	58471	7.8%
l	58471	7.8%
1	58471	7.8%
n	17664	2.4%
Other values (27)	66308	8.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	747038	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	151284	20.3%
0	74700	10.0%
-	74610	10.0%
a	66145	8.9%
e	60911	8.2%
r	60003	8.0%
C	58471	7.8%
l	58471	7.8%
1	58471	7.8%
n	17664	2.4%
Other values (27)	66308	8.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	747038	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	151284	20.3%
0	74700	10.0%
-	74610	10.0%
a	66145	8.9%
e	60911	8.2%
r	60003	8.0%
C	58471	7.8%
l	58471	7.8%
1	58471	7.8%
n	17664	2.4%
Other values (27)	66308	8.9%

Light
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

01 - Daylight	49858
07 - Dark	16805
05 - Dusk	3445
00 - Unknown	2691
03 - Dawn	1803

Length

Max length	13
Median length	13
Mean length	11.781255
Min length	9

Characters and Unicode

Total characters	879023
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	07 - Dark
2nd row	07 - Dark
3rd row	03 - Dawn
4th row	01 - Daylight
5th row	01 - Daylight

Common Values

Value	Count	Frequency (%)
01 - Daylight	49858	66.8%
07 - Dark	16805	22.5%
05 - Dusk	3445	4.6%
00 - Unknown	2691	3.6%
03 - Dawn	1803	2.4%
99 - Other	10	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	74612	33.3%
01	49858	22.3%
daylight	49858	22.3%
07	16805	7.5%
dark	16805	7.5%
05	3445	1.5%
dusk	3445	1.5%
00	2691	1.2%
unknown	2691	1.2%
03	1803	0.8%
Other values (3)	1823	0.8%

Most occurring characters

Value	Count	Frequency (%)
	149224	17.0%
0	77293	8.8%
-	74612	8.5%
D	71911	8.2%
a	68466	7.8%
h	49868	5.7%
t	49868	5.7%
1	49858	5.7%
y	49858	5.7%
l	49858	5.7%
Other values (16)	188207	21.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	879023	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	149224	17.0%
0	77293	8.8%
-	74612	8.5%
D	71911	8.2%
a	68466	7.8%
h	49868	5.7%
t	49868	5.7%
1	49858	5.7%
y	49858	5.7%
l	49858	5.7%
Other values (16)	188207	21.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	879023	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	149224	17.0%
0	77293	8.8%
-	74612	8.5%
D	71911	8.2%
a	68466	7.8%
h	49868	5.7%
t	49868	5.7%
1	49858	5.7%
y	49858	5.7%
l	49858	5.7%
Other values (16)	188207	21.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	879023	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	149224	17.0%
0	77293	8.8%
-	74612	8.5%
D	71911	8.2%
a	68466	7.8%
h	49868	5.7%
t	49868	5.7%
1	49858	5.7%
y	49858	5.7%
l	49858	5.7%
Other values (16)	188207	21.4%

Traffic_Control
Categorical

High correlation Imbalance

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	583.0 KiB

10 - No control	34638
01 - Traffic signal	30172
02 - Stop sign	8165
11 - Roundabout	992
03 - Yield sign	429
Other values (7)	215

Length

Max length	23
Median length	19
Mean length	16.496026
Min length	8

Characters and Unicode

Total characters	1230785
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10 - No control
2nd row	10 - No control
3rd row	01 - Traffic signal
4th row	01 - Traffic signal
5th row	01 - Traffic signal

Common Values

Value	Count	Frequency (%)
10 - No control	34638	46.4%
01 - Traffic signal	30172	40.4%
02 - Stop sign	8165	10.9%
11 - Roundabout	992	1.3%
03 - Yield sign	429	0.6%
12 - IPS	88	0.1%
99 - Other	48	0.1%
13 - MPS	33	< 0.1%
04 - Ped. crossover	24	< 0.1%
09 - Traffic controller	9	< 0.1%
Other values (2)	13	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	74611	25.1%
10	34638	11.7%
no	34638	11.7%
control	34638	11.7%
traffic	30189	10.2%
01	30172	10.1%
signal	30172	10.1%
sign	8594	2.9%
02	8165	2.7%
stop	8165	2.7%
Other values (20)	3301	1.1%

Most occurring characters

Value	Count	Frequency (%)
	222672	18.1%
o	114139	9.3%
-	74611	6.1%
n	74405	6.0%
0	73450	6.0%
i	69384	5.6%
1	66915	5.4%
l	65262	5.3%
r	64941	5.3%
c	64865	5.3%
Other values (28)	340141	27.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1230785	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	222672	18.1%
o	114139	9.3%
-	74611	6.1%
n	74405	6.0%
0	73450	6.0%
i	69384	5.6%
1	66915	5.4%
l	65262	5.3%
r	64941	5.3%
c	64865	5.3%
Other values (28)	340141	27.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1230785	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	222672	18.1%
o	114139	9.3%
-	74611	6.1%
n	74405	6.0%
0	73450	6.0%
i	69384	5.6%
1	66915	5.4%
l	65262	5.3%
r	64941	5.3%
c	64865	5.3%
Other values (28)	340141	27.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1230785	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	222672	18.1%
o	114139	9.3%
-	74611	6.1%
n	74405	6.0%
0	73450	6.0%
i	69384	5.6%
1	66915	5.4%
l	65262	5.3%
r	64941	5.3%
c	64865	5.3%
Other values (28)	340141	27.6%

Num_of_Vehicle
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8412186

Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	25
Range	24
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.58651207
Coefficient of variation (CV)	0.3185456
Kurtosis	36.938837
Mean	1.8412186
Median Absolute Deviation (MAD)	0
Skewness	1.5433167
Sum	137377
Variance	0.34399641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	51248	68.7%
1	18127	24.3%
3	4425	5.9%
4	660	0.9%
5	112	0.2%
6	24	< 0.1%
7	12	< 0.1%
9	2	< 0.1%
8	1	< 0.1%
25	1	< 0.1%

Value	Count	Frequency (%)
1	18127	24.3%
2	51248	68.7%
3	4425	5.9%
4	660	0.9%
5	112	0.2%
6	24	< 0.1%
7	12	< 0.1%
8	1	< 0.1%
9	2	< 0.1%
25	1	< 0.1%

Value	Count	Frequency (%)
25	1	< 0.1%
9	2	< 0.1%
8	1	< 0.1%
7	12	< 0.1%
6	24	< 0.1%
5	112	0.2%
4	660	0.9%
3	4425	5.9%
2	51248	68.7%
1	18127	24.3%

Num_Of_Pedestrians
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

0	73015
1	1535
2	58
3	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	74612
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	73015	97.9%
1	1535	2.1%
2	58	0.1%
3	4	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	73015	97.9%
1	1535	2.1%
2	58	0.1%
3	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	73015	97.9%
1	1535	2.1%
2	58	0.1%
3	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	74612	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	73015	97.9%
1	1535	2.1%
2	58	0.1%
3	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	74612	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	73015	97.9%
1	1535	2.1%
2	58	0.1%
3	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	74612	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	73015	97.9%
1	1535	2.1%
2	58	0.1%
3	4	< 0.1%

Num_of_Bicycles
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

0.0	73265
1.0	1335
2.0	10
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	223836
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	73265	98.2%
1.0	1335	1.8%
2.0	10	< 0.1%
3.0	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	73265	98.2%
1.0	1335	1.8%
2.0	10	< 0.1%
3.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	147877	66.1%
.	74612	33.3%
1	1335	0.6%
2	10	< 0.1%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	147877	66.1%
.	74612	33.3%
1	1335	0.6%
2	10	< 0.1%
3	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	147877	66.1%
.	74612	33.3%
1	1335	0.6%
2	10	< 0.1%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	147877	66.1%
.	74612	33.3%
1	1335	0.6%
2	10	< 0.1%
3	2	< 0.1%

Num_of_Motorcycles
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

0.0	73975
1.0	628
2.0	8
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	223836
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	73975	99.1%
1.0	628	0.8%
2.0	8	< 0.1%
3.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	73975	99.1%
1.0	628	0.8%
2.0	8	< 0.1%
3.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	148587	66.4%
.	74612	33.3%
1	628	0.3%
2	8	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	148587	66.4%
.	74612	33.3%
1	628	0.3%
2	8	< 0.1%
3	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	148587	66.4%
.	74612	33.3%
1	628	0.3%
2	8	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	148587	66.4%
.	74612	33.3%
1	628	0.3%
2	8	< 0.1%
3	1	< 0.1%

Max_Injury
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

Num_of_Injuries
Real number (ℝ)

High correlation Zeros

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.23347451

Minimum	0
Maximum	38
Zeros	61195
Zeros (%)	82.0%
Negative	0
Negative (%)	0.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	38
Range	38
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.58800648
Coefficient of variation (CV)	2.518504
Kurtosis	242.63414
Mean	0.23347451
Median Absolute Deviation (MAD)	0
Skewness	6.6191692
Sum	17420
Variance	0.34575162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	61195	82.0%
1	10497	14.1%
2	2193	2.9%
3	523	0.7%
4	129	0.2%
5	46	0.1%
6	18	< 0.1%
7	5	< 0.1%
8	4	< 0.1%
38	1	< 0.1%

Value	Count	Frequency (%)
0	61195	82.0%
1	10497	14.1%
2	2193	2.9%
3	523	0.7%
4	129	0.2%
5	46	0.1%
6	18	< 0.1%
7	5	< 0.1%
8	4	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
38	1	< 0.1%
9	1	< 0.1%
8	4	< 0.1%
7	5	< 0.1%
6	18	< 0.1%
5	46	0.1%
4	129	0.2%
3	523	0.7%
2	2193	2.9%
1	10497	14.1%

Num_of_Minimal_Injuries
Real number (ℝ)

High correlation Zeros

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.093202166

Minimum	0
Maximum	11
Zeros	68879
Zeros (%)	92.3%
Negative	0
Negative (%)	0.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.35866256
Coefficient of variation (CV)	3.8482214
Kurtosis	49.645612
Mean	0.093202166
Median Absolute Deviation (MAD)	0
Skewness	5.3905638
Sum	6954
Variance	0.12863884
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	68879	92.3%
1	4779	6.4%
2	769	1.0%
3	138	0.2%
4	30	< 0.1%
5	10	< 0.1%
8	2	< 0.1%
7	2	< 0.1%
6	2	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
0	68879	92.3%
1	4779	6.4%
2	769	1.0%
3	138	0.2%
4	30	< 0.1%
5	10	< 0.1%
6	2	< 0.1%
7	2	< 0.1%
8	2	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
8	2	< 0.1%
7	2	< 0.1%
6	2	< 0.1%
5	10	< 0.1%
4	30	< 0.1%
3	138	0.2%
2	769	1.0%
1	4779	6.4%
0	68879	92.3%

Num_of_Minor_Injuries
Real number (ℝ)

High correlation Zeros

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.093202166

Minimum	0
Maximum	11
Zeros	68879
Zeros (%)	92.3%
Negative	0
Negative (%)	0.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.35866256
Coefficient of variation (CV)	3.8482214
Kurtosis	49.645612
Mean	0.093202166
Median Absolute Deviation (MAD)	0
Skewness	5.3905638
Sum	6954
Variance	0.12863884
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	68879	92.3%
1	4779	6.4%
2	769	1.0%
3	138	0.2%
4	30	< 0.1%
5	10	< 0.1%
8	2	< 0.1%
7	2	< 0.1%
6	2	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
0	68879	92.3%
1	4779	6.4%
2	769	1.0%
3	138	0.2%
4	30	< 0.1%
5	10	< 0.1%
6	2	< 0.1%
7	2	< 0.1%
8	2	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
8	2	< 0.1%
7	2	< 0.1%
6	2	< 0.1%
5	10	< 0.1%
4	30	< 0.1%
3	138	0.2%
2	769	1.0%
1	4779	6.4%
0	68879	92.3%

Num_of_Major_Injuries
Real number (ℝ)

High correlation Skewed Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0099715863

Minimum	0
Maximum	14
Zeros	73941
Zeros (%)	99.1%
Negative	0
Negative (%)	0.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	14
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.11967469
Coefficient of variation (CV)	12.00157
Kurtosis	2660.2527
Mean	0.0099715863
Median Absolute Deviation (MAD)	0
Skewness	31.279329
Sum	744
Variance	0.014322032
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	73941	99.1%
1	622	0.8%
2	39	0.1%
3	6	< 0.1%
4	3	< 0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
0	73941	99.1%
1	622	0.8%
2	39	0.1%
3	6	< 0.1%
4	3	< 0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
4	3	< 0.1%
3	6	< 0.1%
2	39	0.1%
1	622	0.8%
0	73941	99.1%

Num_of_Fatal_Injuries
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	583.0 KiB

0.0	74471
1.0	132
2.0	8
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	223836
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	74471	99.8%
1.0	132	0.2%
2.0	8	< 0.1%
3.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	74471	99.8%
1.0	132	0.2%
2.0	8	< 0.1%
3.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	149083	66.6%
.	74612	33.3%
1	132	0.1%
2	8	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	149083	66.6%
.	74612	33.3%
1	132	0.1%
2	8	< 0.1%
3	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	149083	66.6%
.	74612	33.3%
1	132	0.1%
2	8	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	223836	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	149083	66.6%
.	74612	33.3%
1	132	0.1%
2	8	< 0.1%
3	1	< 0.1%

Lat
Real number (ℝ)

High correlation Skewed

Distinct	42389
Distinct (%)	56.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.29193

Minimum	0
Maximum	45.524921
Zeros	76
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	0
5-th percentile	45.253606
Q1	45.333451
median	45.378984
Q3	45.418314
95-th percentile	45.460853
Maximum	45.524921
Range	45.524921
Interquartile range (IQR)	0.08486305

Descriptive statistics

Standard deviation	1.843572
Coefficient of variation (CV)	0.040704204
Kurtosis	566.14395
Mean	45.29193
Median Absolute Deviation (MAD)	0.041780475
Skewness	-23.802858
Sum	3379321.5
Variance	3.3987576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45.46414526	229	0.3%
45.33460787	208	0.3%
45.48898157	177	0.2%
45.46085266	158	0.2%
45.33417384	154	0.2%
45.35150226	140	0.2%
45.32869813	139	0.2%
45.27053061	136	0.2%
45.37040769	136	0.2%
45.41648492	132	0.2%
Other values (42379)	73003	97.8%

Value	Count	Frequency (%)
0	76	0.1%
3.318485223	50	0.1%
3.341503337	5	< 0.1%
44.96795959	1	< 0.1%
44.96797999	1	< 0.1%
44.96979868	1	< 0.1%
44.97028019	1	< 0.1%
44.97358922	1	< 0.1%
44.98083128	1	< 0.1%
44.98106813	1	< 0.1%

Value	Count	Frequency (%)
45.52492133	1	< 0.1%
45.52476088	1	< 0.1%
45.52470204	5	< 0.1%
45.52468914	1	< 0.1%
45.52464234	1	< 0.1%
45.52452523	1	< 0.1%
45.52440728	1	< 0.1%
45.52440692	1	< 0.1%
45.52440179	1	< 0.1%
45.52440045	1	< 0.1%

Long
Real number (ℝ)

High correlation

Distinct	42172
Distinct (%)	56.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-75.710325

Minimum	-79.23729
Maximum	-75.261583
Zeros	0
Zeros (%)	0.0%
Negative	74612
Negative (%)	100.0%
Memory size	583.0 KiB

Quantile statistics

Minimum	-79.23729
5-th percentile	-75.929355
Q1	-75.755176
median	-75.696671
Q3	-75.642484
95-th percentile	-75.498398
Maximum	-75.261583
Range	3.975707
Interquartile range (IQR)	0.11269275

Descriptive statistics

Standard deviation	0.16799797
Coefficient of variation (CV)	-0.0022189572
Kurtosis	196.44678
Mean	-75.710325
Median Absolute Deviation (MAD)	0.056860655
Skewness	-9.6435503
Sum	-5648898.8
Variance	0.028223318
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-75.54012559	229	0.3%
-75.69319006	208	0.3%
-75.47774271	177	0.2%
-75.48780963	158	0.2%
-75.70057066	154	0.2%
-75.76297753	140	0.2%
-75.74897241	139	0.2%
-75.74638832	136	0.2%
-75.66330343	136	0.2%
-75.60244499	133	0.2%
Other values (42162)	73002	97.8%

Value	Count	Frequency (%)
-79.23728992	76	0.1%
-76.33938433	1	< 0.1%
-76.33804351	1	< 0.1%
-76.3378556	1	< 0.1%
-76.33587105	1	< 0.1%
-76.33458758	1	< 0.1%
-76.33374987	2	< 0.1%
-76.33372086	1	< 0.1%
-76.3336814	1	< 0.1%
-76.33313338	1	< 0.1%

Value	Count	Frequency (%)
-75.26158294	1	< 0.1%
-75.26813064	1	< 0.1%
-75.26816498	1	< 0.1%
-75.26880567	2	< 0.1%
-75.26893514	1	< 0.1%
-75.27313672	1	< 0.1%
-75.27461775	1	< 0.1%
-75.27512905	1	< 0.1%
-75.27646836	1	< 0.1%
-75.27867728	1	< 0.1%

	Classification_Of_Accident	Environment_Condition	Initial_Impact_Type	Lat	Light	Location_Type	Long	Num_Of_Pedestrians	Num_of_Bicycles	Num_of_Fatal_Injuries	Num_of_Injuries	Num_of_Major_Injuries	Num_of_Minimal_Injuries	Num_of_Minor_Injuries	Num_of_Motorcycles	Num_of_Vehicle	Road_Surface_Condition	Traffic_Control
Classification_Of_Accident	1.000	0.039	0.155	0.004	0.064	0.085	0.024	0.216	0.169	0.707	0.102	0.077	0.183	0.183	0.104	0.029	0.049	0.070
Environment_Condition	0.039	1.000	0.065	0.000	0.098	0.053	0.027	0.016	0.029	0.009	0.000	0.000	0.000	0.000	0.023	0.010	0.393	0.018
Initial_Impact_Type	0.155	0.065	1.000	0.039	0.298	0.457	0.119	0.188	0.096	0.032	0.025	0.032	0.028	0.028	0.039	0.055	0.078	0.206
Lat	0.004	0.000	0.039	1.000	0.029	0.006	0.597	0.000	0.000	0.000	-0.015	-0.007	0.004	0.004	0.000	0.071	0.000	0.000
Light	0.064	0.098	0.298	0.029	1.000	0.217	0.047	0.025	0.025	0.007	0.009	0.000	0.008	0.008	0.010	0.013	0.101	0.096
Location_Type	0.085	0.053	0.457	0.006	0.217	1.000	0.103	0.057	0.049	0.009	0.012	0.005	0.029	0.029	0.007	0.034	0.064	0.986
Long	0.024	0.027	0.119	0.597	0.047	0.103	1.000	0.013	0.016	0.008	0.028	0.009	0.014	0.014	0.000	0.044	0.017	0.076
Num_Of_Pedestrians	0.216	0.016	0.188	0.000	0.025	0.057	0.013	1.000	0.007	0.052	0.019	0.011	0.026	0.026	0.000	0.004	0.023	0.044
Num_of_Bicycles	0.169	0.029	0.096	0.000	0.025	0.049	0.016	0.007	1.000	0.007	0.000	0.000	0.017	0.017	0.000	0.029	0.040	0.039
Num_of_Fatal_Injuries	0.707	0.009	0.032	0.000	0.007	0.009	0.008	0.052	0.007	1.000	0.578	0.578	0.577	0.577	0.038	0.000	0.093	0.018
Num_of_Injuries	0.102	0.000	0.025	-0.015	0.009	0.012	0.028	0.019	0.000	0.578	1.000	0.209	0.622	0.622	0.000	0.031	0.093	0.000
Num_of_Major_Injuries	0.077	0.000	0.032	-0.007	0.000	0.005	0.009	0.011	0.000	0.578	0.209	1.000	0.009	0.009	0.012	-0.031	0.093	0.000
Num_of_Minimal_Injuries	0.183	0.000	0.028	0.004	0.008	0.029	0.014	0.026	0.017	0.577	0.622	0.009	1.000	1.000	0.000	0.066	0.057	0.008
Num_of_Minor_Injuries	0.183	0.000	0.028	0.004	0.008	0.029	0.014	0.026	0.017	0.577	0.622	0.009	1.000	1.000	0.000	0.066	0.057	0.008
Num_of_Motorcycles	0.104	0.023	0.039	0.000	0.010	0.007	0.000	0.000	0.000	0.038	0.000	0.012	0.000	0.000	1.000	0.000	0.223	0.014
Num_of_Vehicle	0.029	0.010	0.055	0.071	0.013	0.034	0.044	0.004	0.029	0.000	0.031	-0.031	0.066	0.066	0.000	1.000	0.012	0.015
Road_Surface_Condition	0.049	0.393	0.078	0.000	0.101	0.064	0.017	0.023	0.040	0.093	0.093	0.093	0.057	0.057	0.223	0.012	1.000	0.023
Traffic_Control	0.070	0.018	0.206	0.000	0.096	0.986	0.076	0.044	0.039	0.018	0.000	0.000	0.008	0.008	0.014	0.015	0.023	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Accident_Date	Accident_Time	Location	Location_Type	Classification_Of_Accident	Initial_Impact_Type	Road_Surface_Condition	Environment_Condition	Light	Traffic_Control	Num_of_Vehicle	Max_Injury	Num_of_Injuries	Lat	Long
0	2017/01/01	1:28	WEST RIDGE DR btwn PARLOR PL & BERT G. ARGUE DR (__5RG32N)	Midblock	03 - P.D. only	07 - SMV other	03 - Loose snow	02 - Rain	07 - Dark	10 - No control	1	0	0.0	45.254481	-75.931061
1	2017/01/01	3:16	VANIER PKWY SB btwn DONALD ST & MCARTHUR AVE (__3Z07B5)	Midblock	03 - P.D. only	04 - Sideswipe	03 - Loose snow	03 - Snow	07 - Dark	10 - No control	2	0	0.0	45.428323	-75.663225
2	2017/01/01	7:17	OLD RICHMOND RD @ ROBERTSON RD (0000639)	Intersection	03 - P.D. only	07 - SMV other	01 - Dry	05 - Drifting Snow	03 - Dawn	01 - Traffic signal	1	0	0.0	45.324735	-75.826700
3	2017/01/01	8:58	MERIVALE RD @ WOODFIELD DR/ROYDON PL (0009776)	Intersection	03 - P.D. only	03 - Rear end	03 - Loose snow	03 - Snow	01 - Daylight	01 - Traffic signal	2	0	0.0	45.338011	-75.725984
4	2017/01/01	11:41	BANK ST @ BELANGER AVE/LAMIRA ST (0007208)	Intersection	03 - P.D. only	99 - Other	02 - Wet	01 - Clear	01 - Daylight	01 - Traffic signal	2	0	0.0	45.383786	-75.671842
5	2017/01/01	12:08	POULIN AVE @ RICHMOND RD (0002748)	Intersection	02 - Non-fatal injury	03 - Rear end	02 - Wet	03 - Snow	01 - Daylight	01 - Traffic signal	2	02 - Minor	1.0	45.361850	-75.791232
6	2017/01/01	Unknown	EASTVALE DR btwn OGILVIE RD & LOYOLA AVE (__3Z0CDR)	Midblock	03 - P.D. only	06 - SMV unattended vehicle	04 - Slush	03 - Snow	00 - Unknown	10 - No control	1	0	0.0	45.452156	-75.594470
7	2017/01/01	20:26	WEST HUNT CLUB RD EB btwn CEDARVIEW RD & GREENBANK RD (__3Z07PT)	Midblock	03 - P.D. only	04 - Sideswipe	02 - Wet	01 - Clear	07 - Dark	10 - No control	2	0	0.0	45.319864	-75.782571
8	2017/01/01	20:43	QUEEN MARY ST @ QUILL ST (0008259)	Intersection	03 - P.D. only	07 - SMV other	03 - Loose snow	01 - Clear	07 - Dark	02 - Stop sign	1	0	0.0	45.424814	-75.657416
9	2017/01/01	21:40	ERINDALE DR @ BASELINE RD (0003209)	Intersection	03 - P.D. only	07 - SMV other	02 - Wet	01 - Clear	07 - Dark	02 - Stop sign	1	0	0.0	45.358637	-75.746190

	Accident_Date	Accident_Time	Location	Location_Type	Classification_Of_Accident	Initial_Impact_Type	Road_Surface_Condition	Environment_Condition	Light	Traffic_Control	Num_of_Vehicle	Lat	Long
74602	2022/05/31	7:00	HIGHWAY 417 btwn HWY417 IC129 RAMP61 & TRANSITWAY (__3Z07AY)	Midblock	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	10 - No control	2	45.353079	-75.783496
74603	2022/05/31	14:50	HIGHWAY 417 btwn HWY417 IC155 RAMP61 & HWY417 IC145 RAMP56 (__3Z070H)	Midblock	03 - P.D. only	07 - SMV other	01 - Dry	01 - Clear	01 - Daylight	10 - No control	1	45.291036	-76.012286
74604	2022/06/01	9:30	HWY416 IC57 RAMP24 btwn BANKFIELD RD & HIGHWAY 416 (__3Z05I1)	Midblock	03 - P.D. only	07 - SMV other	02 - Wet	02 - Rain	01 - Daylight	10 - No control	1	45.210216	-75.734365
74605	2022/06/02	8:28	HIGHWAY 417 btwn HWY417 IC129 RAMP25 & TRANSITWAY (__3Z07AX)	Midblock	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	10 - No control	2	45.358515	-75.772919
74606	2022/06/02	12:38	HIGHWAY 417 btwn HWY417 IC117 RAMP36 & HWY417 IC117 RAMP26 (__3Z06TK)	Midblock	03 - P.D. only	99 - Other	01 - Dry	01 - Clear	01 - Daylight	10 - No control	2	45.417398	-75.658775
74607	2022/06/03	11:52	HIGHWAY 417 btwn HWY417 IC169 RAMP26 & HWY417 IC169 RAMP61 (__5SPOU0)	Midblock	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	10 - No control	2	45.362241	-76.233622
74608	2022/06/03	12:10	HIGHWAY 417 btwn HWY417 IC134 RAMP36 & HWY417 IC134 RAMP26 (__3Z08RC)	Midblock	03 - P.D. only	07 - SMV other	01 - Dry	01 - Clear	01 - Daylight	10 - No control	1	45.338743	-75.841195
74609	2022/06/03	14:50	HIGHWAY 417 btwn HWY417 IC126 RAMP25 & HWY417 IC124 RAMP57 (__3Z07AK)	Midblock	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	10 - No control	5	45.372274	-75.752376
74610	2022/06/03	14:58	HIGHWAY 417 btwn HWY417 IC120B RAMP36 & HWY417 IC119B RAMP76 (__3Z08HL)	Midblock	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	10 - No control	3	45.409077	-75.691488
74611	2022/06/03	17:05	HIGHWAY 416 btwn HWY416 IC66 RAMP62 & HWY416 IC72 RAMP24 (__3Z05ZX)	Midblock	03 - P.D. only	04 - Sideswipe	01 - Dry	01 - Clear	01 - Daylight	10 - No control	2	45.276966	-75.800863

Most frequently occurring

	Accident_Date	Accident_Time	Location	Location_Type	Classification_Of_Accident	Initial_Impact_Type	Road_Surface_Condition	Environment_Condition	Light	Traffic_Control	Num_of_Vehicle	Num_of_Bicycles	Num_of_Injuries	Num_of_Minimal_Injuries	Num_of_Minor_Injuries	Lat	Long	# duplicates
0	2017/09/19	22:38	COLONEL BY DR @ HOG'S BACK RD (0002635)	Intersection	03 - P.D. only	05 - Turning movement	01 - Dry	01 - Clear	07 - Dark	01 - Traffic signal	2	0.0	0.0	0.0	0.0	45.370006	-75.698201	2
1	2018/02/21	20:49	BROOKFIELD RD @ FLANNERY DR/AIRPORT PKWY RAMP 34 (0006850)	Intersection	03 - P.D. only	04 - Sideswipe	06 - Ice	01 - Clear	07 - Dark	11 - Roundabout	2	0.0	0.0	0.0	0.0	45.373718	-75.684348	2
2	2018/09/17	17:50	BRONSON AVE @ SUNNYSIDE AVE/UNIVERSITY RD/CARLETON U (0007209)	Intersection	03 - P.D. only	04 - Sideswipe	01 - Dry	01 - Clear	01 - Daylight	01 - Traffic signal	2	0.0	0.0	0.0	0.0	45.389919	-75.693859	2
3	2018/11/12	7:08	OLD TENTH LINE RD/OR174 IC101 RAMP63 @ ST. JOSEPH BLVD (0009233)	Intersection	03 - P.D. only	07 - SMV other	06 - Ice	03 - Snow	03 - Dawn	01 - Traffic signal	1	0.0	0.0	0.0	0.0	45.484600	-75.498103	2
4	2019/11/02	19:45	BANK ST @ HERON RD (0002155)	Intersection	03 - P.D. only	04 - Sideswipe	02 - Wet	02 - Rain	07 - Dark	01 - Traffic signal	2	0.0	0.0	0.0	0.0	45.378572	-75.667552	2
5	2020/09/19	12:30	VANIER PKWY/CRICHTON ST @ BEECHWOOD AVE/ST. PATRICK ST (0001604)	Intersection	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	01 - Traffic signal	2	0.0	0.0	0.0	0.0	45.438357	-75.677767	2
6	2022/05/10	12:00	BRIAN COBURN BLVD @ MER BLEUE RD (0014363)	Intersection	03 - P.D. only	03 - Rear end	01 - Dry	01 - Clear	01 - Daylight	11 - Roundabout	2	0.0	0.0	0.0	0.0	45.445510	-75.498398	2
7	2022/10/03	15:30	O'CONNOR ST @ QUEEN ST (0003139)	Intersection	02 - Non-fatal injury	02 - Angle	01 - Dry	01 - Clear	01 - Daylight	01 - Traffic signal	2	1.0	1.0	1.0	1.0	45.421395	-75.698842	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)